Wyniki wyszukiwania dla: ARTIFICIAL INTELLIGENCE METHODS

• Artificial Intelligence

  Kursy Online

  • J. Dembski
  • M. Smiatacz

• Artificial intelligence

  Kursy Online

  • J. Dembski
  • M. Smiatacz

• L23_24 Artificial Intelligence in Healthcare

  Kursy Online

  • J. Rumiński

• Artificial Intelligence - Summer 2023/24

  Kursy Online

  • J. Dembski
  • A. Sobociński

• Computational Intelligence - 2023

  Kursy Online

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence 2022

  Kursy Online

  • Z. Kowalczuk
  • T. Białaszewski
  • H. Kormański

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2022/23

  Kursy Online

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - 2023/2024 sem.

  Kursy Online

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2023/2024

  Kursy Online

  Widening the students knowledge about the selected methods of artificial intelligence

• Interactive Decision Making, Inżynieria Środowiska, Environmental Engineering, 2023/2024 (summer semester)

  Kursy Online

  • A. Jakubczyk-Gałczyńska
  • A. Siemaszko

  The course is designed for students of MSc Studies in Environmental Engineering (studies in Polish and English) Person responsible for the subject, carrying out lectures and tutorials: mgr inż. Agata.Siemaszko; agata.siemaszko@pg.edu.pl The person conducting the lectures and tutorials: dr inż. Anna Jakubczyk-Gałczyńska; anna.jakubczyk@pg.edu.pl The course is conducted using the Project-Based Learning (PBL) method. It provides...

• [Soft Skills] Smart metering - social risk perception and risk governance (2023/2024)

  Kursy Online

  • S. Potrykus
  • M. Jaskólski
  • A. Augusiak

  The aim of the course is to broaden the understanding of the risks associated with technology and to present the concept of social risk perception and risk management in the context of smart metering technology. In the current phase of technological development - called the Fourth Industrial Revolution - rapid and profound changes are creating new, particularly destabilizing threats. In the increasingly complex technological systems...

• Smart metering - social risk perception and risk governance (10h, 2 ECTS credits)

  Kursy Online

  • M. Galik
  • A. Klej

  The goal of the course is to broaden the understanding of technology-related risks and to present the concepts of social risk perception and risk governance in the context of smart metering technology. In current phase of technological development – known as the fourth industrial revolution – rapid and profound changes are setting up new and particularly destabilizing risks. In more and more complex technological systems that constitute...

• Numerical Methods

  Kursy Online

  • P. Sypek
  • M. Rewieński

  Numerical Methods: for Electronics and Telecommunications students, Master's level, semester 1 Instructor: Michał Rewieński, Piotr Sypek Course description: This course provides an introduction to computational techniques for the simulation and modeling of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by various applications including modeling of integrated circuits,...

• Research Methods

  Kursy Online

  • K. Zięba

  This course on research methods is intended for 5th semester students of BiM Programme.

• Quantitative research methods

  Kursy Online

  • P. Paradowski

  Quantitative research methods - dr P. Paradowski

• Monte Carlo Methods

  Kursy Online

  • J. Franz

  This course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.

• Selected aspects of the design of artificial organs

  Kursy Online

  • P. Jasiński

  dla III stopnia EiT+IBM

• Qualitative data analysis methods

  Kursy Online

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• Monte Carlo Methods - 2023/24

  Kursy Online

  • J. Franz

  This course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.

• Spectroscopy Methods in Nanotechnology 2023

  Kursy Online

  • A. Witkowska

  Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.

• Spectroscopy Methods in Nanotechnology 2022

  Kursy Online

  • A. Witkowska

  Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.

• Business Intelligence IM 2022/2023

  Kursy Online

  • A. M. Trzaskowska

• Business Intelligence STAC 2023/2024

  Kursy Online

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence NSTAC 2023/2024

  Kursy Online

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence STAC 2022/2023

  Kursy Online

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence NSTAC 2022/2023

  Kursy Online

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence IM 2023/2024

  Kursy Online

  • A. M. Trzaskowska

• Numerical Methods for Partial Differential Equations

  Kursy Online

  • M. Rewieński

  Course description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...

• Multiscale Methods Summer School 2023

  Kursy Online

  • P. Rakowski
  • I. Kuzborska
  • J. Szostak
  • J. Franz
  • M. Chmielecki
  • J. Borucka
  • M. Franz

  Summer school on Multiscale Methods at Gdańsk University of Technology. 3. - 7. July: 10 hours online10. - 14. July: 10 hours online17. - 21. July: 10 hours online24. - 28. July: 30 hours online or in Gdańsk (you choose) Participation is for free!   More info and registration: https://ftims.pg.edu.pl/en/science-app/summer-schools-2023/multi-scale-methods-summer-school  

• [ILiT, IŚGiE] Numerical Methods

  Kursy Online

  • P. Kłosowski

  {mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  prof. dr hab. inż. Paweł Kłosowski Liczba godzin: 30 Forma zajęć: wykład/laboratoria {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic...

• Business Intelligence IM 2023/2024 - KOPIA

  Kursy Online

  • A. M. Trzaskowska

• Business Intelligence STAC 2023/2024 - KOPIA

  Kursy Online

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence NSTAC 2023/2024 - KOPIA

  Kursy Online

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

  Kursy Online

  • P. Paradowski

  METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

• Web intelligence and its applications 2022/2023

  Kursy Online

  • N. Rizun
  • S. Ostrowski

• Web intelligence and its applications 2021/2022

  Kursy Online

  • N. Rizun
  • A. Ojo

• Qualitative Research Methods

  Kursy Online

  • K. Zięba

• FORECASTING - QUANTITATIVE METHODS

  Kursy Online

  • P. Paradowski

• ESynthesis methods of nanomaterials

  Kursy Online

  • M. S. Łapiński

• Microscopy methods in nanotechnology

  Kursy Online

  • J. Karczewski

• [NF] Physical Research Methods I: Computational methods for transport phenomena

  Kursy Online

  • K. Wiciak-Pawłowska
  • J. Franz

  {mlang pl} Dyscyplina: NF Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  Prof. Maurizio Dapor Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: NF Obligatory course for 1st and 2nd-year PhD students Academic teacher: Prof. Maurizio Dapor Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}    

• [IMe] Advanced numerical methods in mechanics

  Kursy Online

  • K. Tesch
  • R. Jankowski
  • A. Żak

  {mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....

• Echolocation Methods - 2022/23

  Kursy Online

  • I. Kochańska
  • D. Toboła
  • H. Lasota

• [IMe] Modern optimisation methods

  Kursy Online

  • K. Tesch

  {mlang pl} Dyscyplina:  Inżynieria Mechaniczna Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:   dr hab. inż. K. Tesch Liczba godzin: 20h Forma zajęć: wykład {mlang} {mlang en} Discipline: Mechanical Engineering Obligatory course for 1st year PhD students Academic teacher:  dr hab. inż. K. Tesch Total hours of training: 20 teaching hours Course type: lecture {mlang}

• Numerical Methods - Data Engineering

  Kursy Online

  • R. Lech
  • P. Kurgan
  • G. Fotyga

  studia inżynierskie, informatyka i inżynieria danych

• [IMe] Modern optimisation methods

  Kursy Online

  • K. Tesch

  {mlang pl} Dyscyplina:  Inżynieria Mechaniczna Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:   Prof. dr hab. inż. K. Tesch Liczba godzin: 20h Forma zajęć: wykład {mlang} {mlang en} Discipline: Mechanical Engineering Obligatory course for 1st year PhD students Academic teacher:  Prof. dr hab. inż. K. Tesch Total hours of training: 20 teaching hours Course type: lecture {mlang}

• [IMe] Modern optimisation methods

  Kursy Online

  • K. Tesch

  {mlang pl} Dyscyplina:  Inżynieria mechaniczna (PG+IMP PAN) Zajęcia obowiązkowe Prowadzący: dr hab. inż. Krzysztof Tesch, prof. uczelni Liczba godzin: 20 h Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering (GUT + IFFM PAS) Obligatory course Academic teacher: dr hab. inż. Krzysztof Tesch, prof. uczelni Total hours of training: 20 teaching hours Course type: lecture {mlang}

• Echolocation Methods - 2023/24

  Kursy Online

  • I. Kochańska
  • A. Tułaza
  • D. Toboła
  • H. Lasota

• Numerical Methods 2023/2024

  Kursy Online

  • Ł. Żmuda-Trzebiatowski
  • R. Sauer

  Jest to pomocnicza formatka do tworzenia kursów wspomagających nauczanie stacjonarne na WILiŚ. Formatka została utworzona i udostępniona przez CNE. Uwaga: W celu wykorzystania i modyfikacji należy: 1) skopiować kurs wzorcowy 2) dopiero w kopii nanosić zmiany.

• Passive Methods in Heat Transport

  Kursy Online

  • P. Szymański